An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model 


Vol. 37,  No. 6, pp. 473-479, Jun.  2012


PDF
  Abstract

In this paper, blind equalization technique using Gaussian two-cluster model is proposed. The proposed approach, by modeling the received M-QAM signals as Gaussian distributed two-cluster, minimizes the computational complexity and enhances the reliability of the signal estimates. In addition, by using a nonlinear estimator with variable parameters to estimate the transmitted signal, and by selectively applying the reduced constellation and the original constellation when estimating the signals, the reliability of the signal estimation was further improved. As a result, the proposed approach has improved the performance while reducing the complexity of the equalizer. Through computer simulations for blind equalization of higher-order signals of 64-QAM, it was confirmed that the proposed method showed better performance than traditional approaches.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. N. Oh, "An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 6, pp. 473-479, 2012. DOI: .

[ACM Style]

Kil Nam Oh. 2012. An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model. The Journal of Korean Institute of Communications and Information Sciences, 37, 6, (2012), 473-479. DOI: .

[KICS Style]

Kil Nam Oh, "An Adaptive Blind Equalizer Using Gaussian Two-Cluster Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 6, pp. 473-479, 6. 2012.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880